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ICDE
2012
IEEE
208views Database» more  ICDE 2012»
13 years 2 months ago
Discovering Multiple Clustering Solutions: Grouping Objects in Different Views of the Data
—Traditional clustering algorithms identify just a single clustering of the data. Today’s complex data, however, allow multiple interpretations leading to several valid groupin...
Emmanuel Müller, Stephan Günnemann, Ines...
NIPS
2008
15 years 1 months ago
Dimensionality Reduction for Data in Multiple Feature Representations
In solving complex visual learning tasks, adopting multiple descriptors to more precisely characterize the data has been a feasible way for improving performance. These representa...
Yen-Yu Lin, Tyng-Luh Liu, Chiou-Shann Fuh
LREC
2010
165views Education» more  LREC 2010»
15 years 1 months ago
Cooperation for Arabic Language Resources and Tools - The MEDAR Project
The paper describes some of the work carried out within the European funded project MEDAR. The project has three streams of activity: the technical stream, the cooperation stream ...
Bente Maegaard, Mohamed Attia, Khalid Choukri, Oli...
LWA
2007
15 years 1 months ago
Multi-objective Frequent Termset Clustering
Large, high dimensional data spaces, are still a challenge for current data clustering methods. Frequent Termset (FTS) clustering is a technique developed to cope with these chall...
Andreas Kaspari, Michael Wurst
KDD
2001
ACM
169views Data Mining» more  KDD 2001»
15 years 12 months ago
Hierarchical cluster analysis of SAGE data for cancer profiling
In this paper we present a method for clustering SAGE (Serial Analysis of Gene Expression) data to detect similarities and dissimilarities between different types of cancer on the...
Jörg Sander, Monica C. Sleumer, Raymond T. Ng